Vertebral Fracture Assessment Research Articles

Chest CT‐based automated vertebral fracture assessment using artificial intelligence and morphologic features

AbstractBackgroundSpinal degeneration and vertebral compression fractures are common among the elderly that adversely affect their mobility, quality of life, lung function, and mortality. Assessment of vertebral fractures in chronic obstructive pulmonary disease (COPD) is important due to the high prevalence of osteoporosis and associated vertebral fractures in COPD.PurposeWe present new automated methods for (1) segmentation and labelling of individual vertebrae in chest computed tomography (CT) images using deep learning (DL), multi‐parametric freeze‐and‐grow (FG) algorithm, and separation of apparently fused vertebrae using intensity autocorrelation and (2) vertebral deformity fracture detection using computed vertebral height features and parametric computational modelling of an established protocol outlined for trained human experts.MethodsA chest CT‐based automated method was developed for quantitative deformity fracture assessment following the protocol by Genant et al. The computational method was accomplished in the following steps: (1) computation of a voxel‐level vertebral body likelihood map from chest CT using a trained DL network; (2) delineation and labelling of individual vertebrae on the likelihood map using an iterative multi‐parametric FG algorithm; (3) separation of apparently fused vertebrae in CT using intensity autocorrelation; (4) computation of vertebral heights using contour analysis on the central anterior‐posterior (AP) plane of a vertebral body; (5) assessment of vertebral fracture status using ratio functions of vertebral heights and optimized thresholds. The method was applied to inspiratory or total lung capacity (TLC) chest scans from the multi‐site Genetic Epidemiology of COPD (COPDGene) (ClinicalTrials.gov: NCT00608764) study, and the performance was examined (n = 3231). One hundred and twenty scans randomly selected from this dataset were partitioned into training (n = 80) and validation (n = 40) datasets for the DL‐based vertebral body classifier. Also, generalizability of the method to low dose CT imaging (n = 236) was evaluated.ResultsThe vertebral segmentation module achieved a Dice score of .984 as compared to manual outlining results as reference (n = 100); the segmentation performance was consistent across images with the minimum and maximum of Dice scores among images being .980 and .989, respectively. The vertebral labelling module achieved 100% accuracy (n = 100). For low dose CT, the segmentation module produced image‐level minimum and maximum Dice scores of .995 and .999, respectively, as compared to standard dose CT as the reference; vertebral labelling at low dose CT was fully consistent with standard dose CT (n = 236). The fracture assessment method achieved overall accuracy, sensitivity, and specificity of 98.3%, 94.8%, and 98.5%, respectively, for 40,050 vertebrae from 3231 COPDGene participants. For generalizability experiments, fracture assessment from low dose CT was consistent with the reference standard dose CT results across all participants.ConclusionsOur CT‐based automated method for vertebral fracture assessment is accurate, and it offers a feasible alternative to manual expert reading, especially for large population‐based studies, where automation is important for high efficiency. Generalizability of the method to low dose CT imaging further extends the scope of application of the method, particularly since the usage of low dose CT imaging in large population‐based studies has increased to reduce cumulative radiation exposure.

Simultaneous automated ascertainment of prevalent vertebral fracture and abdominal aortic calcification in clinical practice: role in fracture risk assessment.

Whether simultaneous automated ascertainments of prevalent vertebral fracture (auto-PVFx) and abdominal aortic calcification (auto-AAC) on vertebral fracture assessment (VFA) lateral spine bone density (BMD) images jointly predict incident fractures in routine clinical practice is unclear. We estimated the independent associations of auto-PVFx and auto-AAC primarily with incident major osteoporotic and secondarily with incident hip and any clinical fractures in 11 013 individuals (mean [SD] age 75.8 [6.8] years, 93.3% female) who had a BMD test combined with VFA between March 2010 and December 2017. Auto-PVFx and auto-AAC were ascertained using convolutional neural networks (CNNs). Proportional hazards models were used to estimate the associations of auto-PVFx and auto-AAC with incident fractures over a mean (SD) follow-up of 3.7 (2.2) years, adjusted for each other and other risk factors. At baseline, 17% (n = 1881) had auto-PVFx and 27% (n = 2974) had a high level of auto-AAC (≥ 6 on scale of 0 to 24). Multivariable-adjusted hazard ratios (HR) for incident major osteoporotic fracture (95% C.I.) were 1.85 (1.59, 2.15) for those with compared to those without auto-PVFx, and 1.36 (1.14, 1.62) for those with high compared to low auto-AAC. The multivariable-adjusted HRs for incident hip fracture were 1.62 (95% C.I. 1.26 to 2.07) for those with compared to those without auto-PVFx, and 1.55 (95% C.I. 1.15 to 2.09) for those high auto-AAC compared to low auto-AAC. The 5-year cumulative incidence of major osteoporotic fracture was 7.1% in those with no auto-PVFx and low auto-AAC, 10.1% in those with no auto-PVFx and high auto-AAC, 13.4% in those with auto-PVFx and low auto-AAC, and 18.0% in those with auto-PVFx and high auto-AAC. While physician manual review of images in clinical practice will still be needed to confirm image quality and provide clinical context for interpretation, simultaneous automated ascertainment of auto-PVFx and auto-AAC can aid fracture risk assessment.

Bisphosphonates Maintain BMD after Sequential Teriparatide and Denosumab in Premenopausal Women with Idiopathic Osteoporosis.

We previously reported that sequential teriparatide followed by denosumab substantially increases BMD in premenopausal idiopathic osteoporosis (PremenIOP). To determine whether administration of bisphosphonates after denosumab cessation is associated with stable BMD in PremenIOP. Open-label extension study. 24 PremenIOP Teriparatide-Denosumab Study participants. Oral alendronate (ALN), 70mg weekly, or IV zoledronic acid (ZOL), 5mg once (patient choice), was administered 7 months (M) after final denosumab dose. BMD by DXA and serum C-telopeptide (CTX) q6M; vertebral fracture assessment (VFA) and HR-pQCT q12M. 24 women with PremenIOP (aged 43 ± 8 years), severely affected with low trauma adult fractures (range 0-12; 9 with vertebral fractures) and/or very low BMD, had large BMD increases on sequential teriparatide-denosumab (spine: 25 ± 9%; total hip: 11 ± 6%). During the Bisphosphonate Extension, mean BMD and CTX changes in the entire group were small and not statistically significant at 6 or 12M.Women choosing ZOL (n = 6) versus ALN (n = 18) did not differ by baseline age, BMI, fractures, BMD, or CTX. On ZOL, there were small LSBMD declines and CTX increases, particularly between 6M and 12M, while greater stability was observed on ALN.Changes in BMD and CTX did not differ by duration of denosumab (36M vs <36M) or between 20 women who remained premenopausal and 4 who transitioned into menopause. Higher pre-teriparatide CTX, likely reflecting baseline remodeling status, predicted more spine and hip bone loss. No new vertebral (clinical or VFA screening) or non-vertebral fractures occurred. BMD remained stable in women with PremenIOP who received bisphosphonates after sequential teriparatide-denosumab therapy.

Male–female disparity in clinical features and significance of mild vertebral fractures in community-dwelling residents aged 50 and over

This investigation examined the clinical implications of mild vertebral fractures in older community-dwelling residents. Focusing on the locomotion health of older individuals, the earlier reported Obuse study enrolled 415 randomly sampled Japanese residents aged between 50 and 89 years, 411 of whom underwent X-ray evaluations for pre-existing vertebral fractures. A blinded assessment of vertebral fractures based on Genant’s criteria was conducted on the T5-L5 spine for rating on a severity scale. Grade 1 mild fractures were not linked to age in males, but increased with aging in females. Female participants had fewer Grade 1 and 2 fractures (P = 0.003 and 0.035, respectively) but more Grade 3 fractures (P = 0.013) than did males independently of age (Grade 1, 2, and 3: 25%, 16%, and 9% in females and 40%, 22%, and 6% in males, respectively). Weak negative correlations were observed between the number of fractures and bone mineral density in females for all fracture grades (Spearman’s rho: 0.23 to 0.36, P < 0.05). Our study showed that Grade 1 mild vertebral fractures in males lacked pathological significance, while in females they potentially indicated fragility fractures and were related to poor lumbopelvic alignment.

Damaged bone microarchitecture by Trabecular Bone Score (TBS) and low appendicular muscle mass: main risk factors for vertebral and non-vertebral fractures in women with long-standing rheumatoid arthritis.

To assess risk factors for fractures, including clinical, laboratory and dual energy X-ray absorptiometry (DXA) parameters (bone mass, trabecular bone score-TBS, muscle mass) in women with established rheumatoid arthritis (RA). Three hundred females with RA (ACR, 2010) were studied. Clinical data were obtained by questionnaire and disease activity by composite indices (DAS28, CDAI, SDAI), C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR). Bone mineral density (BMD), TBS, body composition and Vertebral Fracture Assessment (VFA) were performed by DXA. Logistic regression models were constructed to identify factors independently associated with vertebral (VF) and non-vertebral fractures (NVF), separately. Through rigorous eligibility criteria, a total of 265 women were yielded for final data analysis (median age, 55 [22-86] years; mean disease duration, 16.2years). Prevalence of VF and NVF were 30.6% and 17.4%, respectively. In multivariate analyzes, TBS (OR = 1.6, 95%CI = 1.09-2.36, p = 0.017), CRP (OR = 1.54, 95%CI = 1.15-2.08, p = 0.004), and parathormone (OR = 1.24, 95%CI = 1.05-1.45, p = 0.009) were risk factors for VF, whereas low appendicular muscle mass (OR = 2.71; 95%CI = 1.01-7,28; p = 0.048), body mass index (BMI) (OR = 0.90, 95%CI = 0.82-0.99; p = 0.025), ESR (OR = 1.18, 95%CI = 1.01-1,38, p = 0,038) and hip BMD (OR = 1.82, 95%CI = 1.10-3.03, p = 0.02) were associated with NVF. In women with long-term RA, markers of fractures differed between distinct skeletal sites (vertebral and non-vertebral). The magnitude of association of bone/muscle parameters with fracture (TBS for VF and appendicular muscle mass for NVF) was greater than that of the association between RA activity and fracture. TBS seems to have greater discriminative power than BMD to identify subjects with VF in long-standing RA.

Bone loss and new vertebral fractures during treatment with romosozumab: a case-report

PurposeThis study aimed to illustrate the possibility of an unfavorable response to treatment with the anabolic agent romosozumab for patients with severe osteoporosis and to discuss explanations for treatment failure.MethodsDual-energy x-ray absorptiometry (DXA) including vertebral fracture assessment (VFA) and X-rays of the thoracolumbar spine was used to assess bone mineral density (BMD) and the presence of vertebral fractures before and after treatment with romosozumab.ResultsOur patient developed a decrease in the BMD of the hip, two incident new vertebral fractures, and worsening of one prevalent vertebral fracture during 1 year treatment with romosozumab. We have not detected non-adherence, there was no pretreatment with anti-resorptives, and we observed no signs of secondary osteoporosis and/or comorbidities.ConclusionAs the number of patients treated with romosozumab is rising, it becomes more likely that more patients will be found with new fractures and/or an unfavorable BMD response. Probably, the unfavorable response is a (bad) chance finding, but we think it is crucial for clinicians and patients to exclude nonadherence, new comorbidities and pretreatment with anti-resorptives as explanation in these patients.

Osteoporosis and Fragility Fractures in Patients with Liver Cirrhosis: Usefulness of FRAX® as a Screening Tool.

The purpose of this study is to assess the prevalence of osteoporosis and fragility fractures in patients with liver cirrhosis (LC) and determine the associated risk factors, evaluating the usefulness of FRAX® as a screening method to identify patients at a higher risk of fracture. This was a cross-sectional study. Demographic, clinical, and analytical data were collected in a randomized sample of LC patients attending the Hepatology Department of a university hospital. We assessed the absolute risk of fracture at 10 years (FRAX®) and based on the bone mineral density (BMD), the presence of morphometric vertebral fracture with a vertebral fracture assessment (VFA), or a thoracic and lumbar X-ray and bone microarchitecture with a trabecular bone score (TBS). Ninety-two patients were included (71% male); the mean age was 63 ± 11.3 years. The main etiology of LC was alcoholism (52.2%), and most patients were Child-Pugh A (80.4%), with a mean model for end-stage liver disease (MELD) score of 10.1 ± 3.6. Sixteen patients (17.4%) had osteoporosis, and fifty-four (58.7%) had osteopenia. Eight patients (8.7%) had suffered at least one fragility fracture. The absolute risk of a major fracture according to FRAX without the BMD was 5.7 ± 4.5%. Risk factors associated with osteoporosis were age and the female sex. BMI > 30 was a protective factor. A FRAX cut-off point for a major fracture > 6.6% had a sensitivity of 69% and a specificity of 85% for a diagnosis of osteoporosis. The prevalence of osteoporosis and fractures in patients with LC is high, particularly in older women. FRAX® may be a useful method to identify candidates for bone densitometry. A FRAX value below 6.6% without the BMD can avoid unnecessary testing.

Prediction of fragility fractures in men with prostate cancer under androgen deprivation therapy: the importance of a multidisciplinary approach using a mini-invasive diagnostic tool.

Bone fragility in men who are treated with androgen deprivation therapy (ADT) has a complex pathophysiology that differs from that of primary and post-menopausal osteoporosis. Fracture risk assessment based on bone mineral density (BMD) and Fracture Risk Assessment Tool (FRAX) score might not be effective in this patient setting, since high frequency of fragility fractures has been reported even in subjects with low FRAX risk and normal BMD. In this paper we want to emphasize the importance in the individual assessment of bone fragility and prediction of fractures by measuring parameters of bone quality, assessing morphometric vertebral fractures and evaluating body composition that in subjects under hormone-deprivation therapies can play a crucial role. Noteworthy, a single mini-invasive diagnostic tool, i.e., the dual energy x-ray absorptiometry (DXA) scan, offers the opportunity to evaluate reliably parameters of bone quality (e.g., trabecular bone score) and body composition, besides measurement of BMD and assessment of vertebral fractures by a morphometric approach. This article highlights the values and cost-effectiveness of this mini-invasive tool in the context of multidisciplinary approach to subjects with prostate cancer under ADTs.

Reporting of paediatric osteoporotic vertebral fractures in Duchenne muscular dystrophy and potential impact on clinical management: the need for standardised and structured reporting

BackgroundIn boys with Duchenne muscular dystrophy (DMD), initiation of bisphosphonate is recommended upon identification of moderate or severe vertebral fractures, even if asymptomatic. Clear radiological reporting is important for consistency of clinical interpretation and management.ObjectivesTo audit radiology reports of spine imaging for vertebral fracture assessment in DMD, and assess potential impact on diagnosis and management.Materials and MethodsLateral thoracolumbar spine imaging (71 lateral spine radiographs and 13 lateral dual energy absorptiometry spine image) in 84 boys with DMD performed across two centres. Anonymised radiology reports by paediatric radiologists were circulated to two neuromuscular clinicians and two endocrinologists. Clinicians determined if there was vertebral fracture, no vertebral fracture, or unclear interpretation. Endocrinologists also determined if bisphosphonate was indicated. A single observer (a clinician with expertise in vertebral fracture assessment) performed vertebral fracture assessment in 37 images and re-reported using a structured format. Structured reports were re-circulated to the four clinicians to re-evaluate the degree of concordance in clinical diagnosis of vertebral fracture and treatment decisions with bisphosphonate.ResultsThe term “fracture” was used in 25/84 (30%) radiology reports and only in 8/43 (19%) with description of vertebral body abnormalities. Fracture grading was included in 7/43 (16%) radiology reports. Diagnostic concordance by the clinicians was noted in 36/84 (43%). Unclear interpretation was noted in 22% to 51% based on radiology reports. No unclear interpretation was noted with structured reports. Complete diagnostic (37/37, 100%) and treatment (37/37, 100%) concordance was noted with the structured reports, whereas complete diagnostic and treatment concordance was noted in only 16/37 (43%) and 17/37 (46%) of the radiology reports, respectively.ConclusionOnly a third of radiology reports of spine imaging in DMD explicitly used the terminology “fracture”. Grading was only noted in a small percentage. Variability in diagnostic interpretation by clinicians may lead to differing management plans. As identification of vertebral fracture is a trigger for treatment, developing reporting guidelines for paediatric vertebral fracture assessment will improve care. A structured template should be introduced for radiological reporting of paediatric vertebral fracture assessment.

Machine-Learning Assessed Abdominal Aortic Calcification is Associated with Long-Term Fall and Fracture Risk in Community-Dwelling Older Australian Women.

Abdominal aortic calcification (AAC), a recognized measure of advanced vascular disease, is associated with higher cardiovascular risk and poorer long-term prognosis. AAC can be assessed on dual-energy X-ray absorptiometry (DXA)-derived lateral spine images used for vertebral fracture assessment at the time of bone density screening using a validated 24-point scoring method (AAC-24). Previous studies have identified robust associations between AAC-24 score, incident falls, and fractures. However, a major limitation of manual AAC assessment is that it requires a trained expert. Hence, we have developed an automated machine-learning algorithm for assessing AAC-24 scores (ML-AAC24). In this prospective study, we evaluated the association between ML-AAC24 and long-term incident falls and fractures in 1023 community-dwelling older women (mean age, 75 ± 3 years) from the Perth Longitudinal Study of Ageing Women. Over 10 years of follow-up, 253 (24.7%) women experienced a clinical fracture identified via self-report every 4-6 months and verified by X-ray, and 169 (16.5%) women had a fracture hospitalization identified from linked hospital discharge data. Over 14.5 years, 393 (38.4%) women experienced an injurious fall requiring hospitalization identified from linked hospital discharge data. After adjusting for baseline fracture risk, women with moderate to extensive AAC (ML-AAC24 ≥ 2) had a greater risk of clinical fractures (hazard ratio [HR] 1.42; 95% confidence interval [CI], 1.10-1.85) and fall-related hospitalization (HR 1.35; 95% CI, 1.09-1.66), compared to those with low AAC (ML-AAC24 ≤ 1). Similar to manually assessed AAC-24, ML-AAC24 was not associated with fracture hospitalizations. The relative hazard estimates obtained using machine learning were similar to those using manually assessed AAC-24 scores. In conclusion, this novel automated method for assessing AAC, that can be easily and seamlessly captured at the time of bone density testing, has robust associations with long-term incident clinical fractures and injurious falls. However, the performance of the ML-AAC24 algorithm needs to be verified in independent cohorts. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).

High prevalence of vertebral fractures associated with preoperative cortisol levels in patients with recent diagnosis of Cushing disease

Background/objective Morphometric vertebral fractures (VFs) and osteopathy are prevalent and clinically significant complications of Cushing disease (CD). However whether they represent an early occurrence in the natural progression of the disease is an ongoing debate. This study aimed to assess the prevalence and determinants of VFs in patients newly diagnosed with CD. Patients and methods This cross-sectional case–control study recruited 75 newly diagnosed CD patients and compared them with a control group of individuals without pituitary disorders or secondary forms of osteoporosis. Demographic, clinical and biochemical data were collected. The VFs were assessed using preoperative lateral chest radiography. Results We found a significantly higher prevalence of VFs in the CD group than in the control group (58.7% vs. 14.5%; P < 0.001). Among the CD patients with VFs, 27 (61.4%) showed moderate/severe VFs. The CD patients with VFs had significantly higher preoperative 8 am serum cortisol (8ASC) levels than those without VFs (P < 0.001). The preoperative 4 pm adrenocorticotropic hormone (ACTH) levels (P = 0.031), preoperative 0 am ACTH levels (P = 0.021) and systolic blood pressure were slightly higher in CD patients with VFs than in those without VFs (P = 0.028). A binary multiple logistic analysis showed that 8ASC was an independent predictor of VF risk (P = 0.003). The optimal cut-off value of the preoperative serum 8ASC level for predicting VFs was 22.18 ng/mL. Conclusions This is the first study reporting a high prevalence of radiologic VFs in recently diagnosed CD patients. VFs may represent an early manifestation of CD and may be related to cortisol levels. Therefore, VF assessment should be included in the workup during CD diagnosis.

Bone quality, mineral density, and fractures in heart failure.

The trabecular bone score (TBS) indirectly estimates bone quality and predicts low-impact fractures independently of bone mineral density (BMD). However, there is still a paucity of data linking bone and heart diseases, mainly with gaps in the TBS analysis. In this cross-sectional study, we evaluated TBS, BMD, and fractures in patients with heart failure with reduced ejection fraction (HFrEF) and in sex-, BMI- and age-matched controls, and we assessed the fracture probability using the FRAX tool, considering active search for fractures by vertebral fracture assessment (VFA) and the adjustment for the TBS. TBS values were 1.296 ± 0.14 in 85 patients (43.5% women; age 65 ± 13 years) and 1.320 ± 0.11 in 142 controls (P = 0.07), being reduced (< 1.31) in 51.8% and 46.1% of them, respectively (P = 0.12). TBS was lower in patients than in the controls when BMD was normal (P = 0.04) and when the BMI was 15-37 kg/m2 (P = 0.03). Age (odds ratio [OR] 1.05; P = 0.026), albumin (OR 0.12; P = 0.046), statin use (OR 0.27; P = 0.03), and energy intake (OR 1.03; P = 0.014) were associated with reduced TBS. Fractures on VFA occurred in 42.4% of the patients, and VFA and TBS adjustment increased the fracture risk by 16%-23%. Patients with HFrEF had poor bone quality, with a better discriminating impact of the TBS assessment when BMD was normal, and BMI was suitable for densitometric analysis. Variables related to the prognosis, severity, and treatment of HFrEF were associated with reduced TBS. VFA and TBS adjustment increased fracture risk.

Prevalence of bone complications in young patients with sickle cell disease presenting low bone mineral density

PurposeBone fragility in sickle cell disease (SCD) has been previously reported even in young patients, but the clinical consequences and specific management remain unclear. The objective of this study was to assess the prevalence of bone fragility in sickle cell patients and to evaluate the potential risk factors and associated complications. MethodsWe conducted a single-center cross-sectional study. Bone mineral densitometry (BMD) at the lumbar spine and the hip, Vertebral Fracture Assessment (VFA) and biological measurements were performed in patients aged between 20 and 40 years. ResultsOne hundred and thirty-eight patients with sickle cell disease were included between June 2020 and December 2021. One hundred and one patients (73.2 %) were from Sub-Saharan Africa, 13 from North Africa (9.4 %), 11 from the Caribbean (7.9 %), 6 from the Indian Ocean. A Z-score < −2 was found in 43 patients (31.2 %) at the lumbar spine, in 4 patients (3 %) at the total hip, and in 5 patients (3.7 %) at the femoral neck. 59 patients (46.8 %) had vertebral deformities. Fragility fractures were recorded in 9 patients (10.8 %). Patients with low BMD had lower BMI (21.3 (19.0, 24.0) versus 24.0 (20.7, 26.1) Kg/m2, p = 0.003), lower osteonecrosis history (7 % versus 25.3 %, p = 0.011) and lower hemoglobin levels (9.0 (8.0, 10.0) versus 10.0 (9.0, 11.0) g/dL, p < 0.01). No association was found between history of fracture and low BMD. ConclusionYoung patients with SCD commonly have low BMD at the lumbar spine, but the prevalence of fragility fracture was low. Low BMD - specifically at the spine - may not be tantamount to bone fragility.

Quality improvement initiative: implementing routine vertebral fracture assessments into an Australian Fracture Liaison Service

Osteoporosis is a global health concern and a major contributor to worldwide mortality rates. Vertebral fractures due to osteoporosis are common and often undetected. Since vertebral fractures are often missed,...

Evaluation of bone mineral density, microarchitecture, and detection of fractures on young patients living with human immunodeficiency virus: when and how to screen?

People living with the human immunodeficiency virus (PLWH) developed higher life expectancy along with chronic bone disease over the past years. Our purpose is to evaluate bone mineral density, bone microarchitecture and fractures in young PLWH and understand the disease's contribution to bone derangements and fracture risk. Eighty-one HIV-infected and 54 control young (20-50 years) male and female subjects were enrolled in this study. Methods for patient evaluation included DXA-VFA (dual energy X-rays and vertebral fracture assessment), HR-pQCT (high resolution peripheral quantitative computed tomography), biochemistry and FRAX. Fifty participants from each group completed all exams. Median age was 40 (25-49) vs. 36.5 (22-50) for the HIV and control groups, respectively (p 0.120). Ethnicity, body mass index, serum phosphorus, 25-hydroxyvitamin D, PTH and CTX were similar between groups, although ALP and OC suggested higher bone turnover in PLWH. VFA identified morphometric vertebral fractures in 12% of PLWH. PLWH had lower values for lumbar spine areal BMD and Z score, volumetric BMD, trabecular bone fraction (BV/TV) and trabecular number measured at the distal tibia by HR-pQCT; as a consequence, trabecular separation and heterogeneity were higher (all p < 0.05). The FRAX-estimated risk for hip and major osteoporotic fractures was statistically higher in PLWH (p < 0.001). Our results confirm severe bone impairment and fractures associated with HIV in young patients. Thus, we developed a screening protocol for young PLWH to detect bone fragility, reduce skeletal disease progression and morbimortality, decrease fracture risk, and increase quality of life.

Chronic hypoparathyroidism is associated with increased cortical bone density evaluated using high-resolution peripheral quantitative computed tomography.

This cross-sectional study aimed to assess bone mineral density (BMD), bone microarchitecture and fracture prevalence in women with chronic postsurgical hypoparathyroidism (hypoPT). Twenty-seven women with postsurgical hypoPT and 44 age-matched healthy women were included. Dual-energy X-ray absorptiometry was used to evaluate areal BMD and vertebral fracture assessment. High-resolution peripheral quantitative computed tomography assessed microarchitecture and volumetric BMD at the distal radius and tibia. Biochemical parameters, including fibroblast growth factor 23, C-terminal cross-linking telopeptide of type I collagen (ICTP), and procollagen type I N-terminal propeptide (P1NP), were also measured. Previous low-impact fractures were assessed and the 10-year fracture risk was estimated using the FRAX tool for the Brazilian population. No participant had prevalent clinical fractures, and both groups showed low risk for major and hip based on FRAX tool, but two hypoPT patients had moderate to severe morphometric vertebral fractures. Women with hypoPT had increased aBMD in the lumbar spine, femoral neck and total hip (p < 0.05) and higher cortical vBMD in the radius (p = 0.020) and tibia (p < 0.001). Trabecular bone was not affected. Both P1NP and ICTP suggested low bone turnover rates, but no significant correlation was observed between bone density or microstructure and any of the biochemical parameters. The prevalence of fragility fractures was low in HypoPT women and compatible with low fracture risk estimated by the FRAX tool. Patients had a higher aBMD and cortical vBMD than those of healthy control women, but the association with decreased bone turnover remains unclear.

MRI-based radiomics assessment of the imminent new vertebral fracture after vertebral augmentation.

Imminent new vertebral fracture (NVF) is highly prevalent after vertebral augmentation (VA). An accurate assessment of the imminent risk of NVF could help to develop prompt treatment strategies. To develop and validate predictive models that integrated the radiomic features and clinical risk factors based on machine learning algorithms to evaluate the imminent risk of NVF. In this retrospective study, a total of 168 patients with painful osteoporotic vertebral compression fractures treated with VA were evaluated. Radiomic features of L1 vertebrae based on lumbar T2-weighted images were obtained. Univariate and LASSO-regression analyses were applied to select the optimal features and construct radiomic signature. The radiomic signature and clinical signature were integrated to develop a predictive model by using machine learning algorithms including LR, RF, SVM, and XGBoost. Receiver operating characteristic curve and calibration curve analyses were used to evaluate the predictive performance of the models. The radiomic-XGBoost model with the highest AUC of 0.93 of the training cohort and 0.9 of the test cohort among the machine learning algorithms. The combined-XGBoost model with the best performance with an AUC of 0.9 in the training cohort and 0.9 in the test cohort. The radiomic-XGBoost model and combined-XGBoost model achieved better performance to assess the imminent risk of NVF than that of the clinical risk factors alone (p < 0.05). Radiomic and machine learning modeling based on T2W images of preoperative lumbar MRI had an excellent ability to evaluate the imminent risk of NVF after VA.

Adjusting FRAX Estimates of Fracture Probability Based on a Positive Vertebral Fracture Assessment

FRAX is the most widely used and validated fracture risk prediction tool worldwide. Vertebral fractures, which are an indicator of subsequent osteoporotic fractures, can be identified using dual-energy x-ray absorptiometry (DXA) vertebral fracture assessment (VFA). To assess the calibration of FRAX and develop a simple method for improving FRAX-predicted fracture probability in the presence of VFA-identified fracture. This prognostic study analyzed the DXA and VFA results of all individuals who underwent a VFA between March 31, 2010, and March 31, 2018, who were included in the Manitoba Bone Mineral Density Registry. These individuals were randomly assigned to either the development cohort or validation cohort. A modified algorithm-based qualitative approach was used by expert readers to code VFAs as positive (≥1 vertebral fractures detected) or negative (0 vertebral fracture detected). Statistical analysis was conducted from August 7, 2022, to May 22, 2023. FRAX scores for major osteoporotic fracture (MOF) and hip fracture were calculated with or without VFA results. Incident fractures and death were ascertained using linked population-based health care provincial data. Cumulative incidence curves for MOF and hip fracture were constructed, including competing mortality, to predict the 10-year observed risk of fracture. The observed probability was compared with FRAX-predicted fracture probability with and without VFA results and recalibrated FRAX from derived multipliers. The full cohort of 11 766 individuals was randomly allocated to the development cohort (n = 7854; 7349 females [93.6%]; mean [SD] age, 75.7 [6.8] years) or the validation cohort (n = 3912; 3713 females [94.9%]; mean [SD] age, 75.5 [6.9] years). Over a mean (SD) observation time of 3.8 (2.3) years, with the longest observation at 7.5 years, FRAX was well calibrated in subgroups with negative VFA results. For individuals without a prior clinical fracture but with a positive VFA result, the 10-year FRAX-predicted MOF probability was 16.3% (95% CI, 15.7%-16.8%) without VFA information and 23.4% (95% CI, 22.7%-24.1%) with VFA information. The observed 10-year probabilities were 26.9% (95% CI, 26.0%-27.8%) and 11.2% (95% CI, 10.3%-12.1%), respectively, resulting in recalibration multipliers of 1.15 (95% CI, 0.87-1.43) for MOF and 1.31 (95% CI, 0.75-1.87) for hip fracture. For individuals with a prior clinical fracture and a positive VFA result, the 10-year FRAX-predicted probabilities were 25.0% (95% CI, 24.2%-25.7%) for MOF and 9.3% (95% CI, 8.7%-10.0%) for hip fracture. The observed 10-year probabilities were 38.1% (95% CI, 37.0%-39.1%) for MOF and 16.4% (95% CI, 15.4%-17.4%) for hip fracture, resulting in a recalibration multiplier of 1.53 (95% CI, 1.10-1.96) for MOF and 1.76 (95% CI, 1.17-2.35) for hip fracture. Good calibration (>0.90) was confirmed using the derived multipliers in the validation cohort. Results of this prognostic study suggest that FRAX underestimated fracture risk in patients with VFA-identified fractures. Simple multipliers could recover FRAX calibration in individuals with VFA-identified fractures.

Machine learning for abdominal aortic calcification assessment from bone density machine-derived lateral spine images.

Lateral spine images for vertebral fracture assessment can be easily obtained on modern bone density machines. Abdominal aortic calcification (AAC) can be scored on these images by trained imaging specialists to assess cardiovascular disease risk. However, this process is laborious and requires careful training. Training and testing of model performance of the convolutional neural network (CNN) algorithm for automated AAC-24 scoring utilised 5012 lateral spine images (2 manufacturers, 4 models of bone density machines), with trained imaging specialist AAC scores. Validation occurred in a registry-based cohort study of 8565 older men and women with images captured as part of routine clinical practice for fracture risk assessment. Cox proportional hazards models were used to estimate the association between machine-learning AAC (ML-AAC-24) scores with future incident Major Adverse Cardiovascular Events (MACE) that including death, hospitalised acute myocardial infarction or ischemic cerebrovascular disease ascertained from linked healthcare data. The average intraclass correlation coefficient between imaging specialist and ML-AAC-24 scores for 5012 images was 0.84 (95% CI 0.83, 0.84) with classification accuracy of 80% for established AAC groups. During a mean follow-up 4 years in the registry-based cohort, MACE outcomes were reported in 1177 people (13.7%). With increasing ML-AAC-24 scores there was an increasing proportion of people with MACE (low 7.9%, moderate 14.5%, high 21.2%), as well as individual MACE components (all p-trend <0.001). After multivariable adjustment, moderate and high ML-AAC-24 groups remained significantly associated with MACE (HR 1.54, 95% CI 1.31-1.80 & HR 2.06, 95% CI 1.75-2.42, respectively), compared to those with low ML-AAC-24. The ML-AAC-24 scores had substantial levels of agreement with trained imaging specialists, and was associated with a substantial gradient of risk for cardiovascular events in a real-world setting. This approach could be readily implemented into these clinical settings to improve identification of people at high CVD risk. The study was supported by a National Health and Medical Research Council of Australia Ideas grant and the Rady Innovation Fund, Rady Faculty of Health Sciences, University of Manitoba.

Biomechanical MRI detects reduced bone strength in subjects with vertebral fractures

Vertebral fracture is one of the most serious consequences of osteoporosis. Estimation of vertebral strength from magnetic resonance imaging (MRI) scans may provide a new approach for the prediction of vertebral fractures. To that end, we sought to establish a biomechanical MRI (BMRI) method to compute vertebral strength and test its ability to distinguish fracture from non-fracture subjects. This case-control study included 30 subjects without vertebral fractures and 15 subjects with vertebral fractures. All subjects underwent MRI with a mDIXON-Quant sequence and quantitative computed tomography (QCT), from which proton fat fraction-based bone marrow adipose tissue (BMAT) content and volumetric bone mineral density (vBMD) were measured, respectively. Nonlinear finite element analysis was applied to MRI and QCT scans of L2 vertebrae to compute vertebral strength (BMRI- and BCT-strength). The differences in BMAT content, vBMD, BMRI-strength and BCT-strength between the two groups were examined by t-tests. Receiver operating characteristic (ROC) analysis was performed to assess the ability of each measured parameter to distinguish fracture from non-fracture subjects. Results showed that the fracture group had 23 % lower BMRI-strength (P < .001) and 19 % higher BMAT content (P < .001) than the non-fracture group, whereas no significant difference in vBMD was detected between the two groups. A poor correlation was found between vBMD and BMRI-strength (R2 = 0.33). Compared to vBMD and BMAT content, BMRI- and BCT-strength had the larger area under the curve (0.82 and 0.84, respectively) and provided better sensitivity and specificity in separating fracture from non-fracture subjects. In conclusion, BMRI is capable of detecting reduced bone strength in patients with vertebral fracture, and may serve as a new approach for risk assessment of vertebral fracture.